PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-07 10:22:35.238235+00:00 (UTC)
In US/Central Time, this is 2024-08-07 05:22:35.238235-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/cb0924ffd220e412fa3ef535512128c992217e7286872cce44d39486e115f870.png
We are just generating a random time serie here.
../../_images/a5cdad859eb0ed86e4581696b51dc055f6cda74c15202f1a6f8c93a7ee1c2e40.png
../../_images/1adc8fe7f84f87a9855558ecfa14d9137f41210a9ae8b28c433a1a7daa6b4acb.png